TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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New York J vs New England: 1st Quarter Winner
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What is the result of New York J vs New England?

Volume:
$30,667

New England

 - Kalshi

New England - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 1:59 PM EST

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

New England

View
100%
47%
Yes 100¢No 0¢
—
N/A
$24,783
N/A
N/A
$15,834
Settled
Yes
kalshi

New York J

0%
Yes 0¢No 100¢
—
N/A
$4,439
N/A
N/A
$3,909
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,446
N/A
N/A
$1,212
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will lead at the end of the first quarter in an upcoming football game between New York J and New England. It captures the early momentum of the match, reflecting how teams start their performance before halftime strategies come into play.

Kalshi

The market determines the leader at the end of the first quarter of the New York J vs New England Pro Football game scheduled for October 18, 2026. If New England scores the most points in the first quarter, the New England market resolves to Yes. If New York J scores the most points in the first quarter, the New York J market resolves to Yes. If both teams score an equal number of points during the first quarter, all team markets resolve to No, and the Tie market resolves to Yes. Only points scored during the first quarter count toward the outcome, and the market is independent of the final game result.

Frequently asked questions

On Kalshi, the dashboard for the NFL divisional matchup tracks the current odds for each potential first-quarter winner, along with a price history chart showing how those odds have changed over time. You can also see the 24-hour trading volume, currently at $30,465, and the total volume traded to date, which is $30,665. This allows you to gauge market sentiment and see how actively traders are participating in this particular market. The dashboard provides a real-time view of where the crowd believes the most value lies in predicting the first-quarter outcome.

Often, prediction market odds reflect the 'wisdom of the crowd' and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market represents the aggregated beliefs of individual traders. If a significant number of traders believe a sportsbook is undervaluing a particular team’s chances, the odds on Kalshi may move in the opposite direction. It’s common to see discrepancies, especially before a lot of money has been wagered, as the prediction market can be more responsive to new information and changing sentiment.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing their belief in each team winning the first quarter. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and place bets, the prices adjust to reflect the collective expectation. The closer we get to the event, the more the prices will likely converge towards the true probability of each team winning, though unexpected news or events can cause volatility.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will resolve based on which team is leading after the first quarter of the game. If the game is canceled or doesn't reach the end of the first quarter, specific rules apply to determine the outcome, but these are standard procedures for handling such scenarios. The results will be determined by the official game statistics and verified by Kalshi’s processes.

Several factors could significantly impact this market. Any news regarding injuries to key players on either team would likely cause a shift in the odds. Unexpected changes in weather conditions, particularly if they favor one team’s playing style, could also influence trading activity. Furthermore, late-breaking news about team strategy or coaching decisions could move the market. Public sentiment and analysis from sports commentators can also play a role, as traders react to new information and adjust their predictions accordingly. A large bet from a well-known or respected trader could also create momentum.